Journal of the National Science Foundation of Sri Lanka
Permanent URI for this collectionhttps://dl.nsf.gov.lk/handle/1/42
The Journal of the National Science Foundation of Sri Lanka is published , in March,June, September & December, by the National Science Foundation of Sri Lanka.
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Item Streamfl ow trends of Kelani River basin in Sri Lanka (1983-2013)(NSF:Colombo, 2020-12) Jayasekara, S.M.; Abeysingha, N.S.; Meegastenna, T.J.Item Performance of neural networks in forecasting short range occurrence of rainfall(NSF. Colombo, 2011) Rathnayake, V.S.; Premaratne, H.L.; Sonnadara, D.U.J.Item Climate change in Sri Lanka:myth or reality? evidence from long-term meteorological data(National Science Foundation:Colombo, 2008-11) De Costa, W.A.J.M.Item Genesis and constitution of Sri Lanka laterites(National Sciene Council:Colombo, 1983) Herath, J.W.; Pathirana, H.C.N.C.Item Spatial interpolation of rainfall in the Dry Zone of Sri Lanka(NSF:Colombo, 1998) Punyawardena, B.V.R.; Kulasiri, D.One of the problems which often arises in climatology is either data at a given site is missing or the site is ungauged.In this study, a spatial interpolation model was developed to estimate the weekly rainfall of the Dry zone of Sri Lanka at ungauged sites assuming that the spatial continuity of rainfall at two neighbouring locations are exponentially correlated. Twenty years of weekly rainfall data from six stations located in the Dry zone was used in the study. To support the methodilogy, the results of the exponential model were compared with the other two methods of spatial interpolation techniques, namely,the local mean and the inverse distance methods.The results of the study indicates that the exponential correlation model is a promising candidate for estimating mean weekly rainfall of the Dry zone.However, the local mean and the inverse distance methods compare quite well along with the exponential model, indicating that more complex midels have no particular advantage over simple models for estimating rainfall in the Dry zone of Sri lanka .Nevertheless, the results point towards the relative importance of the exponential model as opposed to the other two models when the neighbouring locations do not have long series of historical records.Item Identification of drought prone agro-ecological regions in Sri Lanka(National Science Foundation:Colombo, 2008-6) Chithranayana, R.D.; Punyawardena, B.V.R.Item Comparative study of temperature based equations in estimation of potential evaporation for Angunakolapelessa in the arid zone of southern Sri Lanka(National Science Council:Colombo, 1986) Weerasinghe, K.D.N.Item The influence of cold storage on the survival and flowering of field planted cabbage, carrot and beet in Sri Lanka(National Science Council:Colombo, 1974) Senanayake, Y.D.A.Item The climatic water balance approach for the identification of agroclimatological regions in the dry zone of Sri Lanka(National Science Council:Colombo, 1991) Weerasinghe, K.D.N.